Research Article  Open Access
SeJin Choi, SukPyo Kang, SangChel Kim, SeungJun Kwon, "Analysis Technique on Water Permeability in Concrete with Cold Joint considering Micro Pore Structure and Mineral Admixture", Advances in Materials Science and Engineering, vol. 2015, Article ID 610428, 10 pages, 2015. https://doi.org/10.1155/2015/610428
Analysis Technique on Water Permeability in Concrete with Cold Joint considering Micro Pore Structure and Mineral Admixture
Abstract
Cold joint in concrete due to delayed concrete placing may cause a reduced shear resistance and increased water permeation. This study presents an analytical model based on the concept of REV (Representative Element Volume) to assess the effect of water permeability in cold joint concrete. Here, OPC (Ordinary Portland Cement) concrete samples with cold joint are prepared and WPT (Water Permeability Test) is performed on the samples cured for 91 days. In order to account for the effect of GGBFS (Granulated Ground Blast Furnace Slag) on water permeability, concrete samples with the same W/B (Water to Binder) ratio and 40% replacement ratio of GGBFS are tested as well. Utilizing the previous models handling porosity and saturation, the analysis technique for equivalent water permeability with effective cold joint width is proposed. Water permeability in cold joint increases to 140.7% in control case but it decreases to 120.7% through GGBFS replacement. Simulation results agree reasonably well with experimental data gathered for sound and cold joint concrete.
1. Introduction
Concrete as a construction material has been widely used for its many advantages like costbenefit, stable material supply, and high durability. The embedded steel in concrete plays an important role in RC (Reinforced Concrete) structures since concrete has very low strength and resistance to fracture in tensile regions [1]. Pores in concrete are the main routes for ingress of harmful ions (Cl^{−} and CO_{2}) and water permeation, which usually causes rapid corrosion initiation of the embedded steel [2–4]. The durability problem starting with steel corrosion can propagate to degradation of structural safety. It can be observed as corrosion staining in outer concrete surface and is getting worse through cracking, spalling, and acceleration of corrosion and finally comes to collapse of RC structure due to reduced steel area and bond strength [5, 6]. The pores and their connectivity are considered as major parameters for durability design and assessment since deteriorations like chloride attack and carbonation are quantitatively evaluated through pore structure system. Many models and techniques for chloride penetration and carbonation have been proposed considering micro pore structures [3, 4, 7–9], which are supported by complicated physicochemical models and system dynamics considering cement hydration, moisture transport, and pore structure formation [10]. Several models have been developed by adopting both behaviors in earlyaged concrete and special techniques such as neural network algorithm and genetic algorithm for representing reasonable mass transport and material behavior [11–14].
Cold joint occurs due to delayed placing of readymixed concrete, which causes reduced shear strength [15–17]. In mass concrete system or concrete with large unit content of binder, cold joint affects shear strength more severely and causes additional problem of durability. Ingress of harmful ions through cold joint area is reported to be more rapid than that in sound concrete, so that many researches analyzed carbonation, chloride attack, and water permeability in cold joint concrete [18–20]; however they mainly depend on field investigation results.
In the present paper, an analysis technique for water permeability in concrete with cold joint is proposed considering behavior in earlyaged concrete like porosity and saturation. In particular concrete samples with cold joint are prepared and WPT (Water Penetration Test) is conducted based on the literature [8, 9, 21]. In order to assess the effect of mineral admixture on permeability, GGBFS is replaced with OPC (Ordinary Portland Cement) by 40%. The previously developed models on earlyaged concrete behavior are adopted to evaluate the equivalent water permeability in concrete with cold joint. The effects of cold joint and GGBFS on water permeation are analyzed and discussed in the paper.
2. Water Permeation Behavior in Concrete as Porous Media
2.1. Water Permeability without Cold Joint
The path for water permeation through concrete can be assumed to have several pipes with diameter of capillary pores like Figure 1. Total water flow through concrete is governed by the total porosity, and the transport rate depends on pore connectivity [9]. The water flow through pore and its system can be assumed as Figure 1 [9].
In the REV, total water flow () can be written as [9]where and denote average area distribution function of pore and radius of individual pore, respectively. means fluid pressure gradient. Considering an equivalent pore radius for pores ( and ), (1) can be written as [9]where is equivalent pore radius. and are pore area () and constant. The relationship between volumetric porosity () and pore area () can be written as (3) [9]. Torturity factor () can be assumed as [9, 10] so that (2) can be computed as (4) considering (3). Consider the following:The calculation of integral term and (total porosity) is explained in Section 2.2 in detail.
2.2. Modeling of Water Permeability in Concrete with Pore Structure and Cold Joint
2.2.1. Modeling of Water Permeability in Parallel Direction
The REV with cold joint and normal concrete can be assumed as one member with two concrete plates ( and ) and joint area () in Figure 2.
In the REV, total water flow () can be written as [22] and are average velocity and width of each layer . Since and are the same, (5) can be written as (6) considering permeability coefficient () in each layer of . Water pressure gradients (, , and ) are the same since water head of each section is constant, so that equivalent water permeability in total REV can be obtained as (7). Consider the following:where is total width of REV, is water permeability of layer in Darcy’s Law.
2.2.2. Water Permeability considering Micro Pore Structure
In (4), intrinsic permeability is obtained. In order to solve (4), volumetric porosity and total porosity are needed. MTM (Moisture Transport Model) and MPSFM (Micro Pore Structure Formation Model) in Ducom (FE program) which can handle behavior in earlyaged concrete such as porosity and saturation are utilized for calculation of volumetric and total porosity [3, 10–12]. In the models, the interlayer porosity is simply lumped with the porosity distributions of gel and capillary porosity for obtaining the total porosity distribution of cement paste as [3]where and are function of interlayer and capillary porosity, respectively. Utilizing RayleighRitz distribution function, porosity function is formulated as [3, 10]where denotes the fractional pore volume of the distribution up to the pore radius and is the sole porosity distribution parameter for each pore of . Total porosity can be obtained as (10) through constructing (8) and (9). For water transport, capillary pore governs water permeability so that capillary pore function, , is mainly considered like The distribution parameter of can be obtained through MTM and MPSFM, which are based on the large number of data sets [3, 10].
Equation (4) for intrinsic permeability can be written as follows through constructing (10) [9]:After solving (11), water permeability of Darcy’s Law is finally obtained as follows with constructing viscosity, density, and gravity [3, 9, 10]:where (999.3 kg/m^{3}), (9.81 m/sec^{2}), and (1,764 × 10^{−6 }Pa·sec) are fluid density, gravity acceleration, and fluid viscosity.
Water permeability values predicted by (12) are compared with experimental data.
2.2.3. Derivation of Equivalent Water Coefficient in REV with Cold Joint
Equation (7) considers the presence of two different layers, where one is normal concrete and the other is cold joint area. The actual disk sample for WPT can be assumed as Figure 3 considering the concrete area exposed to water intrusion.
Assuming the effective width of cold joint which is vulnerable to water intrusion as parameter , the cold joint area can be assumed as follows since is very small for the diameter of sample ():Disk shaped REV (left in Figure 3) should have the same area as REV with cold joint (right in Figure 3), so that and can be calculated as follows when they have the same height: where is the area of disk with cold joint ().
Considering (14) in (7), equivalent diffusion coefficient can be finally obtained as The simulation results obtained for different values of (0~10) and (0.05~0.20) are plotted in Figure 4.
3. Experimental Program
3.1. Experiment Outline
Cylindrical concrete samples with 0.6 of w/b are prepared. OPC and 40% of GGBFS replacement ratio are selected for concrete mixing. After placing to cast a half volume, the samples are kept in room condition for 1 day, and then the half of cast is filled with the same mix proportions. After 1 day of air drying, the concrete sample is kept in watersubmerged condition for 91 days. Water permeability is decreasing rapidly in earlyaged concrete due to cement hydration [8, 9] so that long term curing period (91 days) is planned. After drying in room condition for 1 day, WPT is performed considering cold joint and GGBFS effect. The mix proportions are listed in Table 1 and physical properties of aggregates are listed in Table 2. Chemical compositions of OPC and GGBFS are listed in Table 3. The photos of samples with cold joint before WPT are shown in Figure 5.



(a) Preparation of cold joint
(b) Disk sample for WPT
3.2. Test Setup for Water Permeability
The water permeability of the joint is experimentally evaluated following the protocols documented in the literature [8, 9, 21]. Cylindrical concrete samples (100 × 200 mm) are cut with 50 mm of height. The schematic arrangement of WPT is shown in Figure 6 with photo of test setup. WPT arrangement consists of two plastic cells fitted in steel frame. The water head is kept as 1,800 mm, and the water drainage and head loss are measured, respectively. The concrete surface is coated with epoxy resin expect for supply (top) and drainage area of water (bottom).
(a) WPT schematic diagram
(b) WPT test setup
The permeability coefficient by Darcy’s Law can be derived from (16) assuming that water flow per unit time is constant due to steady state condition: where is permeability coefficient, and are area of concrete sample and water pipe, respectively. is thickness of the sample. The concrete upper surface with cold joint is perpendicular to water supply direction. The right term in (16) is integrated from initial water head () to measured water head (), and the left term is integrated to measured time (). By integrating (17), water permeability coefficient is obtained as (18). Consider the following:The head loss and water drainage are measured at every 12 hours for 2 weeks.
4. Evaluation of Water Permeability in Concrete
4.1. Compressive Strength
Compressive strengths for OPC and GGBFS concrete are measured at 28 days and 91 days. For three samples for each case, average of test results is taken and plotted in Figure 7. Compressive strength in GGBFS concrete is lower than that in OPC concrete at 28 days but becomes definitely higher at 91 days. Latent hydration forming CSH (Calcium Silicate Hydrate) in GGBFS is the main mechanism for rapid strength development in long term period and it is reported as one of the most advantageous benefits in concrete with GGBFS [12, 23, 24].
4.2. GGBFS and Cold Joint Effect on Water Permeability
The water permeability coefficient represents the water drainage velocity amount per unit time in a fixed area. In Figure 8, cumulative drained water is shown for OPC and GGBFS concrete. The ratios of drained water to control case (OPC without cold joint) are shown in Figure 9. Through replacing with GGBFS, water drainage decreases by 10.9% for normal concrete and by 14.1% for cold joint concrete. Compared with the result of OPC without cold joint, water drainage in OPC with cold joint increases by 47.9%; however that in GGBFS with cold joint shows only 27.1% increment of water drainage.
The water permeability coefficients per measured period (12 hours) are plotted in Figure 10. The employed test has been performed for 2 weeks for the samples cured for 91 days. During the test period of 2 weeks, water is supplied every 12 hours and water permeability is calculated every 12 hours; then the average of permeability is plotted in Figure 10. The adopted test assumes constant water pressure and needs periodical water supply for keeping constant water level. In the test, water is manually supplied and the water drop is read every 12 hours, so permeability varies with every 12 hours. The small changes in temperature and mistakes in reading digit of water drainage may affect the water permeability calculation, but the effects are not significant compared with effects of GGBFS and cold joint. As shown in Figure 10, the calculated water permeability coefficients in every 12 hours show variations. It is reported in the literature that for a concrete with a 0.1 mm crack, water permeability coefficient increases to 230% [7]. Even if concrete has no crack, permeability may increase to 140% when OPC concrete has cold joint as shown in Figure 11 which presents the ratios to control case (OPC concrete without cold joint).
(a) Permeability coefficient in concrete without cold joint
(b) Permeability coefficient in concrete with cold joint
Large variations in permeability are mostly caused by the limited number of samples considered in the experimental campaign. The more the samples prepared are, the more reliable and less scattered the results can be obtained through given standardized variables such as mean and deviation.
4.3. Comparison of Predicted Water Permeability Values with Experimental Data
In order to calculate the permeability of for each concrete (OPC and GGBFS concrete) with cold joint, (12) should be calculated firstly with porosity. The permeability coefficients are calculated through utilizing the results of DUCOM program. Input variables and boundary conditions are listed in Table 4. The varying porosity which is the main parameter for water flow in concrete is shown in Figure 12, where porosity in GGBFS decreases more sharply after 7 days of curing.

Experimental data and simulation results are compared in Figure 13. For the analysis, the effective width () and are assumed as 12 mm and 3.50 , respectively. The experimental constant () is assumed as for OPC and for GGBFS. The variation of test results is not small; however the proposed technique shows a reasonable agreement with the average experimental data. Even if the WPT lasted 91 days, the permeability coefficients of test results are slowly decreasing due to hydration with time. The evolution of cumulative water drainage over two weeks is compared in Figure 14. The analytical model diverges from measured results in concrete without cold joint since constant at 91 days is adopted without timedependency. The simulated results considering porosity with time effect are shown in Figure 15, where the reduced due to pore densification of GGBFS and enlarged cold joint effect is noticeable, particularly, in the early age of the concrete.
(a) Comparison of water permeability (without cold joint)
(b) Comparison of water permeability (with cold joint)
(a) Comparison of water flow (without cold joint)
(b) Comparison of water flow (with cold joint)
As shown in Figure 14, the proposed model obtained very reasonable results. Relative errors with respect to measurements are 0.98~14.93% for normal concrete and −2.39~12.97% for cold joint concrete, respectively. The prediction shows slight underestimation of water drainage in GGBFS concrete with cold joint. Since the porosity and parameter at 91 days are adopted in the analysis, the extended period of test (for 2 weeks) is not considered for water permeability test. For the real structures exposed over 1 year, concrete will have almost the same pore structures and this can lead to almost constant water permeability. For the water permeability design using the proposed method, it is recommended to select porosity and parameter in the fully hydrated condition with 1.2 safety factor.
5. Conclusions
The conclusions on analysis technique on water permeability in cold joint concrete considering micro pore structure and mineral admixture are as follows.(1)This study analyzed the effect of water permeability in cold joint concrete considering micro pore structure and mineral admixture of GGBFS. It was found that by replacing with GGBFS, water drainage decreases by 10.9% and 14.1% for normal concrete and cold joint concrete, respectively. Water drainage in OPC concrete with cold joint increases by 47.9% while GGBFS concrete allows such an increase limit to only 27.1% with respect to the control case.(2)The analysis technique based on the use of a REV (Representative Element Volume) is quite effective as numerical results are in reasonable agreement with experimental observations: 0.98~14.93% and 2.39~12.97% difference for normal and for cold joint concrete specimens, respectively.
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
Acknowledgment
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF2013R1A1A2060114).
References
 R. V. Silva, J. de Brito, and R. K. Dhir, “Tensile strength behaviour of recycled aggregate concrete,” Construction and Building Materials, vol. 83, no. 5, pp. 108–118, 2015. View at: Publisher Site  Google Scholar
 A. Legat, “Monitoring of steel corrosion in concrete by electrode arrays and electrical resistance probes,” Electrochimica Acta, vol. 52, no. 27, pp. 7590–7598, 2007. View at: Publisher Site  Google Scholar
 T. Ishida and K. Maekawa, “Modeling of durability performance of cementitious materials and structures based on thermohygro physics,” in Proceedings of the 2nd International RILEM Workshop on Life Prediction and Aging Management of Concrete Structures, vol. 1 of RILEM ProcPRO29, pp. 39–49, Paris, France, May 2003. View at: Google Scholar
 K. Maekawa, T. Ishida, and T. Kishi, “Multiscale modeling of concrete performance,” Journal of Advanced Concrete Technology, vol. 1, no. 2, pp. 91–126, 2003. View at: Publisher Site  Google Scholar
 O. E. Gjorv, “Durability design and construction quality of concrete structures,” in Proceedings of the Conducting Business in a Regulatory Environment Conference (ConSec '04), vol. 1, pp. 44–55, 2004. View at: Google Scholar
 J. P. Broomfield, Corrosion of Steel in Concrete: Understanding, Investigation and Repair, E&FN, London, UK, 1997.
 S.S. Park, S.J. Kown, S. H. Jung, and S.W. Lee, “Modeling of water permeability in early aged concrete with cracks based on micro pore structure,” Construction and Building Materials, vol. 27, no. 1, pp. 597–604, 2012. View at: Publisher Site  Google Scholar
 S.S. Park, S.J. Kwon, and S. H. Jung, “Analysis technique for chloride penetration in cracked concrete using equivalent diffusion and permeation,” Construction and Building Materials, vol. 29, no. 2, pp. 183–192, 2012. View at: Publisher Site  Google Scholar
 H.W. Song and S.J. Kwon, “Permeability characteristics of carbonated concrete considering capillary pore structure,” Cement and Concrete Research, vol. 37, no. 6, pp. 909–915, 2007. View at: Publisher Site  Google Scholar
 K. Maekawa, T. Ishida, and T. Kishi, MultiScale Modeling of Structural Concrete, Taylor & Francis, London, UK, 2009.
 V. Chandwani, V. Agrawal, and R. Nagar, “Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks,” Expert Systems with Applications, vol. 42, no. 2, pp. 885–893, 2015. View at: Publisher Site  Google Scholar
 T. Ji, T. Lin, and X. Lin, “A concrete mix proportion design algorithm based on artificial neural networks,” Cement and Concrete Research, vol. 36, no. 7, pp. 1399–1408, 2006. View at: Publisher Site  Google Scholar
 J. A. Stegemann and N. R. Buenfeld, “Prediction of unconfined compressive strength of cement paste with pure metal compound additions,” Cement and Concrete Research, vol. 32, no. 6, pp. 903–913, 2002. View at: Publisher Site  Google Scholar
 K.B. Park, T. Noguchi, and J. Plawsky, “Modeling of hydration reactions using neural networks to predict the average properties of cement paste,” Cement and Concrete Research, vol. 35, no. 9, pp. 1676–1684, 2005. View at: Publisher Site  Google Scholar
 V. R. Rathi and P. K. Kolase, “Effect of cold joint on strength of concrete,” International Journal of Innovative Research in Science, Engineering and Technology, vol. 2, pp. 4671–4679, 2013. View at: Google Scholar
 JSCE, Concrete Cold Joint Problems and Countermeasures, vol. 103, Concrete Library Japan Society of Civil Engineeing, 2000.
 American Concrete Institute, ACI 224.3R95, Joints in Concrete Construction, American Concrete Institute, Farmington Hills, Mich, USA, 2001.
 B. Sudret, G. Defaux, and M. Pendola, “Timevariant finite element reliability analysis—application to the durability of cooling towers,” Structural Safety, vol. 27, no. 2, pp. 93–112, 2005. View at: Publisher Site  Google Scholar
 K. Yokozeki, K. Okada, T. Tsutsumi, and K. Watanabe, “Prediction of the service life of RC with crack exposed to chloride attack,” Journal of Symposium: Rehabilitation of Concrete Structure, vol. 10, pp. 1–6, 1998. View at: Google Scholar
 V. R. Rathi and P. K. Kolase, “Effect of cold joint on strength of concrete,” International Journal of Innovative Research in Science, vol. 2, no. 9, 2013. View at: Google Scholar
 D. Ludirdja, R. L. Berger, and J. F. Young, “Simple method for measuring water permeability of concrete,” ACI Materials Journal, vol. 86, no. 5, pp. 433–439, 1989. View at: Google Scholar
 B. M. Das, Principles of Geotechnical EngineeringEquivalent Hydraulic Conductivity in Stratified Soil, PWS Publishing Company, 1998.
 K. Metha and P. J. M. Monteiro, Concrete: Structure, Properties, and Materials, vol. 2, Prentice Hall, Upper Saddle River, NJ, USA, 1993.
 M. D. A. Thomas and P. B. Bamforth, “Modelling chloride diffusion in concrete: effect of fly ash and slag,” Cement and Concrete Research, vol. 29, no. 4, pp. 487–495, 1999. View at: Publisher Site  Google Scholar
Copyright
Copyright © 2015 SeJin Choi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.